Lead Technologist - AI & ML

BAE Systems; Chelmsford; On-site; GBP 65,000 - 85,000; Full time

Job summary

A leading defense technology firm in the UK is seeking an experienced Lead Technologist to spearhead innovation in AI and Machine Learning. You will work on advanced projects including reinforcement learning and computer vision. This hybrid role requires strong expertise in mathematics, statistics, and AI methodologies. Join a team of experts to unlock digital advantages in demanding environments.

Benefits

Referral Bonus of £5,000

Qualifications

• Proven experience in AI and ML, preferably in a relevant applied field.
• Strong understanding of mathematics and statistics.
• Familiarity with computational techniques underpinning AI/ML.

Responsibilities

• Lead development in AI for RF and EW, radar, sonar, and acoustic applications.
• Manage teams working with knowledge graphs and graph-based neural networks.
• Drive innovation in AI for image and video recognition tasks.

Skills

Artificial Intelligence

Machine Learning

Reinforcement Learning

NLP/LLMs

Computer Vision

Education

Mathematics

Statistics

Job description

Overview

Location(s): UK, Europe & Africa – UK: Great Baddow. BAE Systems Digital Intelligence is home to 4,500 digital, cyber and intelligence experts. We work collaboratively across 10 countries to collect, connect and understand complex data, so that governments, nation states, armed forces and commercial businesses can unlock digital advantage in the most demanding environments.

Job Title: Lead Technologist

Requisition ID: 121679

Location: Great Baddow, Hybrid working with 2 days onsite per week

Grade: GG12 - GG13

Referral Bonus: £5,000

BAE Systems Digital Intelligence is seeking to recruit a Lead Technologist to join our rapidly expanding Data and Decision Support Capability.

The Data and Decision Support Capability has teams working in: reinforcement learning; NLP/LLMs; knowledge graphs and graph based neural networks; AI for RF and EW, radar, sonar, acoustics, AI for image and video recognition tasks. The latter includes both computer vision and remote sensing application areas.

You should have existing skills in the latest developments in Artificial Intelligence and Machine Learning. You are also likely to have a strong background in the mathematics, statistics and computational techniques which underpin AI/ML.